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pypi.org : ray

Ray provides a simple, universal API for building distributed applications.

Registry - Source - Documentation - JSON
purl: pkg:pypi/ray
Keywords: ray, distributed, parallel, machine-learning, hyperparameter-tuningreinforcement-learning, deep-learning, serving, python, automl, data-science, deployment, hyperparameter-optimization, hyperparameter-search, java, llm-serving, model-selection, optimization, pytorch, reinforcement-learning, rllib, tensorflow
License: Apache-2.0
Latest release: 30 days ago
First release: about 7 years ago
Dependent packages: 310
Dependent repositories: 3,641
Downloads: 4,182,581 last month
Stars: 31,467 on GitHub
Forks: 5,311 on GitHub
Docker dependents: 582
Docker downloads: 18,759,185
Total Commits: 20389
Committers: 1004
Average commits per author: 20.308
Development Distribution Score (DDS): 0.935
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: about 23 hours ago

• Readme
• Versions 105
• Dependent Packages 310
• Maintainers 26
• Related Packages 6
• Security Advisories 3